11 citations · 20 across the 6 of their papers we have counts for
7 papers
The Weight Is Over - Interactive Diffusion on Consumer GPUs
Frieder Ganz, Maximilian Müller
On-device inference is booming, but the momentum is almost all in language models. Diffusion pipelines are memory hungry, latency-sensitive, and require orchestrating an embedder,…
LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion
Maximilian Mueller, Matthias Hein
In realistic medical settings, the data are often inherently long-tailed, with most samples concentrated in a few classes and a long tail of rare classes, usually containing just a…
Normalization Layers Are All That Sharpness-Aware Minimization Needs
Maximilian Mueller, Tiffany Vlaar, David Rolnick +1
Sharpness-aware minimization (SAM) was proposed to reduce sharpness of minima and has been shown to enhance generalization performance in various settings. In this work we show tha…
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
Julian Bitterwolf, Maximilian Müller, Matthias Hein
Out-of-distribution (OOD) detection is the problem of identifying inputs which are unrelated to the in-distribution task. The OOD detection performance when the in-distribution (ID…
A Modern Look at the Relationship between Sharpness and Generalization
Maksym Andriushchenko, Francesco Croce, Maximilian Müller +2
Sharpness of minima is a promising quantity that can correlate with generalization in deep networks and, when optimized during training, can improve generalization. However, standa…
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations
Maximilian Mueller, Robin Greif, Frank Jenko +1
We investigate uncertainty estimation and multimodality via the non-deterministic predictions of Bayesian neural networks (BNNs) in fluid simulations. To this end, we deploy BNNs i…
Physics-based Deep Learning
N. Thuerey, B. Holzschuh, P. Holl +5
This document is a hands-on, comprehensive guide to deep learning in the realm of physical simulations. Rather than just theory, we emphasize practical application: every concept i…